Machine Learning Internship

Build production-grade ML systems using the VectorForgeML framework and R ecosystem.

What You'll Learn

▸ Core machine learning algorithms — classification, regression, clustering
▸ Linear algebra foundations for ML: matrix operations, decompositions, optimization
▸ Working with the VectorForgeML R package and its C++ computation backend
▸ High-performance computing concepts: BLAS, LAPACK, OpenMP integration
▸ Model evaluation, benchmarking, and reproducible experimentation
▸ GitHub-based version control, documentation, and professional code practices

Required Tools

R R language (v4.0+)

IDE RStudio / VS Code

Git Git & GitHub account

Pkg VectorForgeML R package

Eligibility

• Students, graduates, or self-learners
• Basic programming knowledge required
• Familiarity with R/Python is a plus
• Motivation to learn ML concepts

Duration & Mode

Duration 4–8 Weeks

Mode Online (Remote)

Pace Self-paced

Certification Eligibility

Interns who successfully complete all assigned tasks with acceptable quality will receive a verifiable digital certificate with a unique ID. Exceptional performers may also receive a Letter of Recommendation (LOR).

Ready to Apply?

Apply online to get started with the Machine Learning track.

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